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Molecular characterization of global maize breeding germplasm based on genome-wide single nucleotide polymorphisms

Overview of attention for article published in Theoretical and Applied Genetics, October 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
190 Dimensions

Readers on

mendeley
234 Mendeley
connotea
1 Connotea
Title
Molecular characterization of global maize breeding germplasm based on genome-wide single nucleotide polymorphisms
Published in
Theoretical and Applied Genetics, October 2009
DOI 10.1007/s00122-009-1162-7
Pubmed ID
Authors

Yanli Lu, Jianbing Yan, Claudia T. Guimarães, Suketoshi Taba, Zhuanfang Hao, Shibin Gao, Shaojiang Chen, Jiansheng Li, Shihuang Zhang, Bindiganavile S. Vivek, Cosmos Magorokosho, Stephen Mugo, Dan Makumbi, Sidney N. Parentoni, Trushar Shah, Tingzhao Rong, Jonathan H. Crouch, Yunbi Xu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 234 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Mexico 2 <1%
Germany 1 <1%
India 1 <1%
France 1 <1%
Ethiopia 1 <1%
Nigeria 1 <1%
Denmark 1 <1%
Philippines 1 <1%
Other 1 <1%
Unknown 219 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 67 29%
Student > Ph. D. Student 48 21%
Student > Master 39 17%
Student > Doctoral Student 17 7%
Professor 8 3%
Other 29 12%
Unknown 26 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 177 76%
Biochemistry, Genetics and Molecular Biology 9 4%
Environmental Science 5 2%
Medicine and Dentistry 3 1%
Social Sciences 3 1%
Other 8 3%
Unknown 29 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 October 2015.
All research outputs
#4,409,376
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#604
of 3,565 outputs
Outputs of similar age
#16,987
of 95,573 outputs
Outputs of similar age from Theoretical and Applied Genetics
#4
of 22 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,565 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 95,573 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.